Package: tfdatasets 2.18.0.9000

Tomasz Kalinowski

tfdatasets: Interface to 'TensorFlow' Datasets

Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.

Authors:Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Yuan Tang [aut], Kevin Ushey [aut], RStudio [cph, fnd], Google Inc. [cph]

tfdatasets_2.18.0.9000.tar.gz
tfdatasets_2.18.0.9000.zip(r-4.7)tfdatasets_2.18.0.9000.zip(r-4.6)tfdatasets_2.18.0.9000.zip(r-4.5)
tfdatasets_2.18.0.9000.tgz(r-4.6-any)tfdatasets_2.18.0.9000.tgz(r-4.5-any)
tfdatasets_2.18.0.9000.tar.gz(r-4.7-any)tfdatasets_2.18.0.9000.tar.gz(r-4.6-any)
tfdatasets_2.18.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tfdatasets/json (API)

# Install 'tfdatasets' in R:

install.packages('tfdatasets', repos = c('https://rstudio.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rstudio/tfdatasets/issues

Datasets:

hearts - Heart Disease Data Set

On CRAN:

9.92 score 33 stars 3 packages 1.1k scripts 4.8k downloads 106 exports 31 dependencies

Last updated from:099d18c1cf. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	170
source / vignettes	OK	270
linux-release-x86_64	OK	158
macos-release-arm64	OK	140
macos-oldrel-arm64	OK	98
windows-devel	OK	103
windows-release	OK	123
windows-oldrel	OK	112
wasm-release	OK	137

Exports:%>%all_nominal all_numeric as_array_iterator as_iterator as_tensor as_tf_dataset choose_from_datasets contains csv_record_spec dataset_batch dataset_bucket_by_sequence_length dataset_cache dataset_collect dataset_concatenate dataset_decode_delim dataset_enumerate dataset_filter dataset_flat_map dataset_group_by_window dataset_interleave dataset_map dataset_map_and_batch dataset_options dataset_padded_batch dataset_prefetch dataset_prefetch_to_device dataset_prepare dataset_rebatch dataset_reduce dataset_rejection_resample dataset_repeat dataset_scan dataset_shard dataset_shuffle dataset_shuffle_and_repeat dataset_skip dataset_snapshot dataset_take dataset_take_while dataset_unbatch dataset_unique dataset_use_spec dataset_window delim_record_spec dense_features ends_with everything feature_spec file_list_dataset fit fixed_length_record_dataset has_type install_tensorflow iter_next iterate iterator_get_next iterator_initializer iterator_make_initializer iterator_string_handle layer_input_from_dataset make_csv_dataset make_iterator_from_string_handle make_iterator_from_structure make_iterator_initializable make_iterator_one_shot matches next_batch num_range one_of out_of_range_handler output_shapes output_types random_integer_dataset range_dataset read_files sample_from_datasets scaler_min_max scaler_standard shape sparse_tensor_slices_dataset sql_dataset sql_record_spec sqlite_dataset starts_with step_bucketized_column step_categorical_column_with_hash_bucket step_categorical_column_with_identity step_categorical_column_with_vocabulary_file step_categorical_column_with_vocabulary_list step_crossed_column step_embedding_column step_indicator_column step_numeric_column step_remove_column step_shared_embeddings_column tensor_slices_dataset tensors_dataset text_line_dataset tf tfrecord_dataset tsv_record_spec tuple until_out_of_range with_dataset zip_datasets

Dependencies:backports base64enc cli config generics glue here jsonlite lattice lifecycle magrittr Matrix png processx ps R6 rappdirs Rcpp RcppTOML reticulate rlang rprojroot rstudioapi tensorflow tfautograph tfruns tidyselect vctrs whisker withr yaml

R interface to TensorFlow Dataset API

Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2024-07-16
Started: 2018-01-09

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Find all nominal variables.	all_nominal
Speciy all numeric variables.	all_numeric
Convert tf_dataset to an iterator that yields R arrays.	as_array_iterator
Get the single element of the dataset.	as.array.tensorflow.python.data.ops.dataset_ops.DatasetV2 as_tensor.tensorflow.python.data.ops.dataset_ops.DatasetV2 get_single_element
Creates a dataset that deterministically chooses elements from datasets.	choose_from_datasets
Combines consecutive elements of this dataset into batches.	dataset_batch
A transformation that buckets elements in a 'Dataset' by length	dataset_bucket_by_sequence_length
Caches the elements in this dataset.	dataset_cache
Collects a dataset	dataset_collect
Creates a dataset by concatenating given dataset with this dataset.	dataset_concatenate
Transform a dataset with delimted text lines into a dataset with named columns	dataset_decode_delim
Enumerates the elements of this dataset	dataset_enumerate
Filter a dataset by a predicate	dataset_filter
Maps map_func across this dataset and flattens the result.	dataset_flat_map
Group windows of elements by key and reduce them	dataset_group_by_window
Maps map_func across this dataset, and interleaves the results	dataset_interleave
Map a function across a dataset.	dataset_map
Fused implementation of dataset_map() and dataset_batch()	dataset_map_and_batch
Get or Set Dataset Options	dataset_options
Combines consecutive elements of this dataset into padded batches.	dataset_padded_batch
Creates a Dataset that prefetches elements from this dataset.	dataset_prefetch
A transformation that prefetches dataset values to the given 'device'	dataset_prefetch_to_device
Prepare a dataset for analysis	dataset_prepare
Rebatch elements from this dataset into batches of specified size.	dataset_rebatch
Reduces the input dataset to a single element.	dataset_reduce
A transformation that resamples a dataset to a target distribution.	dataset_rejection_resample
Repeats a dataset count times.	dataset_repeat
A transformation that scans a function across an input dataset	dataset_scan
Creates a dataset that includes only 1 / num_shards of this dataset.	dataset_shard
Randomly shuffles the elements of this dataset.	dataset_shuffle
Shuffles and repeats a dataset returning a new permutation for each epoch.	dataset_shuffle_and_repeat
Creates a dataset that skips count elements from this dataset	dataset_skip
Persist the output of a dataset	dataset_snapshot
Creates a dataset with at most count elements from this dataset	dataset_take
A transformation that stops dataset iteration based on a predicate.	dataset_take_while
Unbatch a dataset	dataset_unbatch
A transformation that discards duplicate elements of a Dataset.	dataset_unique
Transform the dataset using the provided spec.	dataset_use_spec
Combines input elements into a dataset of windows.	dataset_window
Specification for reading a record from a text file with delimited values	csv_record_spec delim_record_spec tsv_record_spec
Dense Features	dense_features
Creates a feature specification.	feature_spec
A dataset of all files matching a pattern	file_list_dataset
Fits a feature specification.	fit.FeatureSpec
A dataset of fixed-length records from one or more binary files.	fixed_length_record_dataset
Identify the type of the variable.	has_type
Heart Disease Data Set	hearts
Get next element from iterator	iterator_get_next
An operation that should be run to initialize this iterator.	iterator_initializer
Create an operation that can be run to initialize this iterator	iterator_make_initializer
String-valued tensor that represents this iterator	iterator_string_handle
Creates a list of inputs from a dataset	layer_input_from_dataset
Get Dataset length	length.tensorflow.python.data.ops.dataset_ops.DatasetV2 length.tf_dataset
Reads CSV files into a batched dataset	make_csv_dataset
Creates an iterator for enumerating the elements of this dataset.	make-iterator make_iterator_from_string_handle make_iterator_from_structure make_iterator_initializable make_iterator_one_shot
Tensor(s) for retrieving the next batch from a dataset	next_batch
Output types and shapes	output_shapes output_types
Creates a 'Dataset' of pseudorandom values	random_integer_dataset
Creates a dataset of a step-separated range of values.	range_dataset
Read a dataset from a set of files	read_files
Samples elements at random from the datasets in 'datasets'.	sample_from_datasets
List of pre-made scalers	scaler
Creates an instance of a min max scaler	scaler_min_max
Creates an instance of a standard scaler	scaler_standard
Selectors	cur_info_env selectors
Splits each rank-N 'tf$SparseTensor' in this dataset row-wise.	sparse_tensor_slices_dataset
A dataset consisting of the results from a SQL query	sqlite_dataset sql_dataset sql_record_spec
Creates bucketized columns	step_bucketized_column
Creates a categorical column with hash buckets specification	step_categorical_column_with_hash_bucket
Create a categorical column with identity	step_categorical_column_with_identity
Creates a categorical column with vocabulary file	step_categorical_column_with_vocabulary_file
Creates a categorical column specification	step_categorical_column_with_vocabulary_list
Creates crosses of categorical columns	step_crossed_column
Creates embeddings columns	step_embedding_column
Creates Indicator Columns	step_indicator_column
Creates a numeric column specification	step_numeric_column
Creates a step that can remove columns	step_remove_column
Creates shared embeddings for categorical columns	step_shared_embeddings_column
Steps for feature columns specification.	steps
Creates a dataset whose elements are slices of the given tensors.	tensor_slices_dataset
Creates a dataset with a single element, comprising the given tensors.	tensors_dataset
A dataset comprising lines from one or more text files.	text_line_dataset
A dataset comprising records from one or more TFRecord files.	tfrecord_dataset
Execute code that traverses a dataset until an out of range condition occurs	out_of_range_handler until_out_of_range
Execute code that traverses a dataset	with_dataset
Creates a dataset by zipping together the given datasets.	zip_datasets